摘要翻译：
两个被称为经济复杂性指数(ECI)和产品复杂性指数(PCI)的网络测度提供了对经济发展模式的重要见解。我们证明了ECI和PCI等价于将相似图分成两部分的谱聚类算法。这些度量也与各种降维方法有关，并且可以解释为基于节点相似性确定节点间距离的向量。我们的结果为ECI在解释GDP/人均和经济增长的跨国差异方面的经验成功提供了一个新的视角，这种差异通常与国家出口篮子的多样性有关。事实上，高（低）ECI的国家往往专门从事高（低）PCI产品。我们还发现ECI和PCI揭示了美国各州和英国地区的经济信息专业化模式。
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英文标题：
《Interpreting Economic Complexity》
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作者：
Penny Mealy, J. Doyne Farmer and Alexander Teytelboym
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最新提交年份：
2018
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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英文摘要：
  Two network measures known as the Economic Complexity Index (ECI) and Product Complexity Index (PCI) have provided important insights into patterns of economic development. We show that the ECI and PCI are equivalent to a spectral clustering algorithm that partitions a similarity graph into two parts. The measures are also related to various dimensionality reduction methods and can be interpreted as vectors that determine distances between nodes based on their similarity. Our results shed a new light on the ECI's empirical success in explaining cross-country differences in GDP/capita and economic growth, which is often linked to the diversity of country export baskets. In fact, countries with high (low) ECI tend to specialize in high (low) PCI products. We also find that the ECI and PCI uncover economically informative specialization patterns across US states and UK regions.
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PDF链接：
https://arxiv.org/pdf/1711.08245